Research on low-carbon scheduling strategy for virtual power plants considering data center demand response
データセンターのデマンドレスポンスを考慮した仮想発電所の低炭素スケジューリング戦略に関する研究 (AI 翻訳)
Lizhen Wu, Haofei Liu, Xiping Ma, Nan Qiu
🤖 gxceed AI 要約
日本語
本論文は、データセンターのワークロード調整による柔軟性を活用し、仮想発電所（VPP）の低炭素経済ディスパッチ手法を提案。炭素取引メカニズムとテナント満足度を考慮し、風力・太陽光発電、蓄電システム、データセンターを含む「源-負荷-蓄電」協調スケジューリングアーキテクチャを構築。IEEE 118バスシステムと中国甘粛省のデータセンター実データを用いたシミュレーションにより、ワークロードの時空間シフトがシステム全体の炭素排出と運用コストを削減し、再生可能エネルギー利用率を向上させることを実証。
English
This paper proposes a low-carbon economic dispatch scheme for virtual power plants (VPPs) by exploiting the temporal and spatial flexibility of data center workloads. It introduces a 'source-load-storage' coordinated scheduling architecture including wind, PV, storage, and data centers under a carbon trading mechanism and tenant satisfaction constraints. Simulations based on the IEEE 118-bus system and a real data center in Gansu Province, China, show that workload shifting reduces system carbon emissions and operating costs while improving renewable energy utilization.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではデータセンターの省エネ・再エネ活用が進む中、VPPとデータセンターの連携は新たなGX手法として注目される。本論文の知見は、日本の次世代電力システムやカーボンプライシング設計に示唆を与える。
In the global GX context
As data centers become major energy consumers, integrating their flexibility into VPPs offers a novel pathway for global decarbonization. The study's use of carbon trading and workload shifting provides a practical model for aligning IT infrastructure with renewable energy integration, relevant to regions with high data center density like the EU and US.
👥 読者別の含意
🔬研究者:Provides an integrated optimization model combining data center workload scheduling with VPP operations and carbon trading, offering a framework for further research in demand-side flexibility.
🏢実務担当者:Demonstrates how data center operators can reduce energy costs and carbon footprint through participation in VPP scheduling, with implications for corporate sustainability strategies.
🏛政策担当者:Highlights the potential of data center demand response in supporting renewable energy integration and carbon reduction targets, informing policies on carbon trading and grid flexibility.
📄 Abstract（原文）
To mitigate the substantial energy footprint of data centers and exploit their flexibility for low-carbon power scheduling, a low-carbon economic dispatch scheme is developed for virtual power plants (VPPs) that explicitly models the spatiotemporal distribution of data-center workloads. First, the flexibility of data center workload adjustment in temporal shifting and spatial migration is characterized and exploited, and the “source-load-storage” coordinated scheduling architecture, including wind power generation, photovoltaic power generation, energy storage systems and data center, is constructed. Second, the carbon trading mechanism and tenant satisfaction function are introduced to minimize the total operating cost, composed of energy storage, electricity transaction, and carbon trading costs. Considering the tenant satisfaction constraint, power-balance constraint, energy storage system constraint, and electricity transaction constraint, the VPP optimal scheduling model, including data center, is established. Finally, an example is analyzed based on the Institute of Electrical and Electronics Engineers 118-bus system and the operation data of an actual data center in Gansu Province. Simulation studies validate that the scheme leverages workload spatiotemporal shifting to curb system-level carbon emissions and total operating expenditure, while maintaining tenant quality of service and markedly enhancing renewable-energy utilization.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1063/5.0325197first seen 2026-05-15 17:11:33
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